In an example embodiment, a differentially private function is computed via secure computation. Secure computation allows multiple parties to compute a function without learning details about the data. The differentially private function is performed via probability distribution, which then permits computation of a result that is likely to be very close to the actual value without being so exact that it can be used to deduce the underlying data itself.
Legal claims defining the scope of protection, as filed with the USPTO.
3. The system of claim 2, wherein the combining includes adding the ranks.
4. The system of claim 2, wherein the fixed value is ln(2).
6. The system of claim 5, wherein the combining includes multiplying the weights.
7. The system of claim 1, wherein a selection probability for a particular subrange is a likelihood that the particular subrange will be selected.
10. The method of claim 9, wherein the combining includes adding the ranks.
11. The method of claim 9, wherein the fixed value is ln(2).
13. The method of claim 12, wherein the combining includes multiplying the weights.
14. The method of claim 12, wherein the calculating a utility includes bringing to a power of the rank.
17. The non-transitory machine-readable medium of claim 16, wherein the combining includes adding the ranks.
18. The non-transitory machine-readable medium of claim 16, wherein the fixed value is ln(2).
20. The non-transitory machine-readable medium of claim 19, wherein the combining includes multiplying the weights.
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December 2, 2019
January 2, 2024
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